The association between technology type and diffusion pattern under duopolistic competition

Authors

  • Ching-Shih Tsou Department of Business Administration, National Taipei College of Business, Taipei, Taiwan, R.O.C.
  • Kun-Jen Chung College of Business Chung Yuan Christian University, Chung Li, Taiwan, R.O.C.
  • Chin-Hsiung Hsu Department of Business Mathematics, Soochow University, Taipei, Taiwan, R.O.C.

DOI:

https://doi.org/10.2298/YJOR0701095T

Keywords:

game of timing, technology diffusion, Nash equilibrium

Abstract

Many firms consider adopting new technologies as a means for enhancing competitive advantages. Therefore, the subject of technology diffusion has been studied by many researchers from different disciplines in order to explore the diffusion profiles throughout the industry or the country. The argument has frequently been made that the pattern of diffusion associated with most new technologies will typically have certain characteristics. In general, the diffusion pattern within an industry will depend on the competitive arena and technology characteristics. Based on a duopolistic game-theoretic model, this paper tries to explore the association between technology type and diffusion pattern. The results show that the cost-reducing technologies are adopted sequentially within a duopoly. On the other hard, strategic technologies diffuse over time or in a swarm. Although both technologies might be adopted sequentially, the rate for strategic technologies is faster than that for cost-reducing technologies. .

References

Abernathy, W.J., and Utterback, J., “Patterns of industrial innovation”, Technical Review, 80 (1978) 40-47.

Brodie, R., and de Kluyer, C.A., “Attraction versus linear and multiplicative market share models: An empirical evaluation”, Journal of Marketing Research, 21 (1984) 194-201.

Canada, J.R., and Sullivan, G., Economic and Multiattribute Evaluation of Advanced Manufacturing Systems, Prentice Hall, New Jersey, 1989.

Cooper, L.G., and Nakanishi, M., Market-Share Analysis, Kluwer Academic Publishers, Massachusetts, 1988.

Friedman, J. W., Game Theory with Applications to Economics, Oxford University Press, New York, 1988.

Fudenberg, D., and Tirole, J., “Preemption and rent equalization in the adoption of new technology”, Review of Economic Studies, 41 (1985) 383-401.

Gatignon, H., and Robertson, T.S., “A propositional inventory for new technology diffusion”, Journal of Consumer Research, 11 (1985) 849-867.

Gatignon, H., and Robertson, T.S., “Technology diffusion: An empirical test of competitive effects”, Journal of Marketing, 53 (1989) 35-49.

Ghosh, A., Neslin, S., and Shoemaker, R., “A comparison of market share models and estimation procedures”, Journal of Marketing Research, 21 (1984) 202-210.

Kolman, B., and Busby, R.C., Discrete Mathematical Structures for Computer Science, Prentice Hall, New Jersey, 1987.

Leeflang, P.S.H., and Reuyl, J.C., “On the predictive power of market share attraction models”, Journal of Marketing Research, 21 (1984) 211-215.

Lilien, G. L., Kotler, P., and Moorthy, K.S., Marketing Models, Prentice Hall, New Jersey, 1992.

Loch, C.H., and Huberman, B.A., “A punctuated-equilibrium model of technology diffusion”, Management Science, 45 (1999) 160-177.

Mukoyama, T., “A theory of technology diffusion”, Ph.D. Dissertation, University of Rochester, USA, 2003.

Naik, B., and Chakravarty, A.K., “Strategic acquisition of new manufacturing technology: A review and research framework”, International Journal of Production Research, 30 (1992) 1575-1601.

Reinganum, J.F., “On the diffusion of new technology: A game theoretic approach”, Review of Economic Studies, 37 (1981a) 395-405.

Reinganum, J.F., “Market structure and the diffusion of new technology”, The Bell Journal of Economics, 12 (1981b) 618-624.

Robertson, T.S., and Gatignon, H., “Competitive effects on technology diffusion”, Journal of Marketing, 50 (1986) 1-12.

Rogers, E.M., Diffusion of Innovations, 4th ed., Free Press, New York, 1995.

Tombak, M., “A strategic analysis of flexible manufacturing systems”, European Journal of Operational Research, 47 (1990) 225-238.

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Published

2007-03-01

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Section

Research Articles